This workflow must run after the workflow: Resident killer whale-chinook salmon interactions. The interaction workflows generates a PostWorkspace file, this is a zip file and it is an R Workspace that transfers values from the Resident killer whale-chinook salmon interactions (main) workflow to the Exploration of fishing scenario (post-processing) workflow.
This workflow merges statistical inference derived from linkages between RKW vital rates (survival probability and fecundity rates) a...

The resident killer whale-chinook salmon interactions workflow provides an environment to calculate a two-sex stage-structured matrix with no density dependence and with vital rates as random variables or as functions of Chinook abundance from specific stock aggregates and to (i) quantify the differences in demographic rates between killer whale (Orcinus orca) population that explain population growth; (ii) to determine the relative influence of vital rates and Chinook (Oncorhynchus tshawytsc...

This workflow analyzes the demography and population growth of resident killer whale populations. Originally created for comparative studies of Northeastern Pacific populations at risk, Southern Resident Killer Whales (SRKW) and the Northern Resident Killer Whales (NRKW), the workflow can be used for other killer whale populations or cetaceans counting with census data and life cycles that can be represented using the matrix models described in this document.
This workflow perform the follow...

This workflow calculates the Elasticity and Sensitivity of population growth rate with respect to various vital rates. The goal in both cases is to determine which vital rates has/ve the most influence on population growth rate (?).
Elasticity and Sensitivity: Sensitivity and elasticity analyses are prospective analyses.
a) The sensitivity matrix: The sensitivity describes the effect on ? of changes in vital rates of the matrix. The derivative tells what would happened to ? if aij was to c...

This workflow estimates the variance matrix from a list of matrices.
This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359.
This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011).
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Literature
Caswell, H. 20...

This workflow calculates and plots the abundance per stage per year.
This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359.
This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011).
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Literature
Caswell, H. 20...

This workflow creates log-log plots of both variance vs. sensitivity and CV vs. elasticity in matrix elements. Plots are based on Figure 2 in Pfister (1998). This workflow calculates as well the summary mean, variance, CV, sensitivities and elasticities of each matrix element of the submitted matrices.
Please if you want to know more about this analyses please refer to: Pfister, C.A. 1998. Patterns of variance in stage-structured populations: Evolutionary predictions and ecological implica...

The Life Table Response Experiments Year Effect for Multiple Places workflow provides an environment to analyse two or more matrices (e.g., two or more matrices of different years from one place) at two or more different locations. The objective of this workflow is to determine the effects of the research years (2 or more) on ?. This workflow performs a fixed LTRE, one way design (Caswell 2001).
LTRE is a retrospective analysis (Caswell 1989), beginning with data on the vital rates and on ?...

This mean matrix workflow estimates the mean matrix from a list of matrices.
This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359.
This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011).
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Literature
Caswel...

This workflow estimates by simulation the quasi-extinction probability time cumulative distribution function for a structured population in an independently and identically distributed (iid) stochastic environment. This workflow is based on the popbio package (stoch.quasi.ext - Calculate quasi-extinction threshold, Stubben, Milligan and Nantel, 2013) based on the The MATLAB code in Box 7.5 (Morris and Doak 2002). For more details of the analysis see: Calculating the probability of hitting a q...